SUPERIOR CHAOTIC BBO FOR OPTIMIZATION PROBLEMS

Chaotic maps are deployed in metaheuristic algorithms to improve their performance.Chaotic migration and mutation operators are observed to yield enriched and diversified habitants on a higher level to escape habitat's entrapment in local optimal solutions.Numerous chaotic maps, mostly logistic map, are employed in BBO algorithm previously.For the last two decades or so, superior iterates in discrete dynamical systems have surfaced as a powerful tool for control and anti-control of chaotic dynamics.In this paper, it is proposed to use superior chaotic tent map and combined logistic and tent map in BBO algorithm to improve the performance further.The working of suggested chaotic BBO algorithms have been assessed by using ten standard test suite functions.The results obtained have confirmed the accuracy and higher convergence rates of proposed techniques.